IBM Big Data Hub

MAY 17, 2023

Business leaders know that their organization’s success relies on its ability to keep essential processes running smoothly and efficiently. Communication technology like email and Slack have become so essential that business grinds to a halt if there are gaps in service. For example, if a user’s email is down, they submit a ticket to IT.

Mining 70

Mining IT Analytics Communications 70

Security Affairs

MAY 19, 2019

Facebook sues data analytics firm Rankwave over alleged data misuse. Pacha Group declares war to rival crypto mining hacking groups. CVE-2019-11815 Remote Code Execution affects Linux Kernel prior to 5.0.8. Expert discovered how to brick all Samsung mobile phones. Over 10k+ GPS trackers could be abused to spy on individuals in the UK.

Security 220

Security Mining Analytics Data breaches 220

Security Affairs

NOVEMBER 29, 2018

Docker is a popular container product which has been adopted widely by the community. IT industry has seen quite a few transformations in last couple of decades with advent of disruptive technologies. Back in 2000, every aspiring student wanted to become computer /IT engineer, thanks to “.com” Containers are dynamic & ephemeral by nature.

Mining 279

Mining Digital transformation Security Analytics 279

AIIM

DECEMBER 20, 2018

Those who have been practicing Human resource management for years knows the importance of relying on data analytics for creating an enhanced work culture or else they might lag behind that of other departments. Think of using HR analytics models which use existing records of successful candidates to create profiles of high performers.

Big data 169

Big data Analytics Mining Insurance 169

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data science 76

Data science Analytics Unstructured data Artificial Intelligence 76

The Last Watchdog

SEPTEMBER 18, 2018

But with no orderly internal framework, unstructured data defies data mining tools. Most human communication is via unstructured data; it’s messy and doesn’t fit into analytical algorithms. All too many companies lack a full appreciation of how vital it has become to proactively manage and keep secure “unstructured data.”. Delete data.

Unstructured data 194

Unstructured data Ransomware Mining Encryption 194

IBM Big Data Hub

JULY 24, 2023

This has led to an increase in the importance of IT operations analytics (ITOA), the data-driven process by which organizations collect, store and analyze data produced by their IT services. Organizations can use all this data to understand the overall health of their system through IT operations analytics.

Analytics 54

Analytics IT Cloud Big data 54

OpenText Information Management

JULY 16, 2024

Managing complex investigative analytics As businesses and investigations grow, so does the amount of data they generate which must be included in any analysis. They must also streamline their analytics workflows and improve collaboration internally and externally. Locations (places, postcodes, etc.),

Analytics 59

Analytics Unstructured data Data structuring Mining 59

Security Affairs

NOVEMBER 8, 2019

“This indicated that the same attackers were likely responsible for both coin mining campaigns—they have been actively staging coin miner attacks and eventually incorporated the BlueKeep exploit into their arsenal.” The popular expert Kevin Beaumont observed some of its EternalPot RDP honeypots crashing after being attacked.

Honeypots 189

Honeypots Mining Analytics Ransomware 189

The Last Watchdog

JUNE 30, 2021

Today’s websites integrate dozens of third-party service providers, from user analytics to marketing tags, CDNs , ads, media and these third-party services load their code and content into the browser directly. Due to optimized speeds and improved computing capacity on client devices, the architecture has evolved over the last few years.

Risk 149

Risk IT Mining Analytics 149

Bill Schmarzo - Dell EMC

MARCH 5, 2018

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? If success is simply adopting and deploying advanced analytics technologies, then you don’t need strategic guidance to chart that journey. It’s simple.

Artificial Intelligence 111

Artificial Intelligence Analytics Big data Mining 111

AIIM

SEPTEMBER 3, 2020

Importantly, data stored in the ECM system also provides a useful source of historical information that can be mined for business insights using analytics engines. A smarter alternative is decommissioning those legacy applications and extracting important historical data to a searchable repository, accessible for business use.

ECM 219

ECM Compliance Digital transformation Access 219

The Last Watchdog

MARCH 1, 2019

Enter SOAR, the acronym for “security operations, analytics and reporting.” There is a gaping shortage of analysts talented enough to make sense of the rising tide of data logs inundating their SIEM (security information and event management) systems. Smart money. LW: How do you expect the SOAR market to evolve over the next couple of years?

Digital transformation 193

Digital transformation Marketing Analytics Risk 193

IBM Big Data Hub

APRIL 15, 2024

Data virtualization bridges this gap, allowing organizations to use their existing data sources with flexibility and efficiency for AI and analytics initiatives. This serves as a single point of reference for analytics, reporting and data-based decisions, resulting in increased accuracy and quicker generation of valuable insights.

Analytics 64

Analytics Artificial Intelligence Marketing Access 64

DXC Technology

DECEMBER 22, 2021

Through process mining and visualization, organizations can identify things such as key bottlenecks and look for ways to deal with those troubling pinch points. The post Process mining and visualization steer digital transformation appeared first on DXC Blogs. When large amounts of business data […].

Digital transformation 52

Digital transformation Mining IT Analytics 52

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? When used strategically, text-mining tools can transform raw data into real business intelligence , giving companies a competitive edge. How does text mining work?

Mining 53

Mining Marketing Artificial Intelligence Customer Experience 53

The Last Watchdog

MARCH 17, 2020

Right now cloud-stored data has to be downloaded and decrypted in order to conduct a search or do any sort of analytics. But what if searches and data analytics could be done in the cloud, without ever decrypting – and, thus, exposing the underlying data? Encryption is a cornerstone of digital commerce.

Encryption 171

Encryption Cloud Authentication IoT 171

The Last Watchdog

AUGUST 29, 2018

Network traffic analytics, or NTA , just may be that pivotal step forward. NTA refers to using advanced data mining and security analytics techniques to detect and investigate malicious activity in traffic moving between each device and on every critical system in a company network. Drinking from Niagara Falls.

Digital transformation 140

Digital transformation Security Analytics Access 140

AIIM

JUNE 30, 2020

The issues and strategies that organizations will face with content management are further morphed by the coming tidal wave of big data and analytics. Few announcements in information management have been bigger than Gartner’s article heard round the world that announced the death of Enterprise Content Management (ECM) as we knew it.

ECM 232

ECM Content services Paper Information architecture 232

Thales Cloud Protection & Licensing

JUNE 14, 2018

But they’d also be working to supplement their stripe recognition and biometrics with behavioral analytics. But they’d also be working to supplement their stripe recognition and biometrics with behavioral analytics. About six months ago, I got an email from a good friend of mine, who I’ll call Alex (not his real name).

Analytics 54

Analytics Mining Authentication Big data 54

OpenText Information Management

DECEMBER 16, 2024

Key horizontal threads that will create trusted, autonomous, secures, and scalable digital twins include Content , Business Network , AI & Analytics , Experience , ITOps , Cybersecurity , and DevOps. Digital twins are no different. Are you ready to learn more?

Energy and Utilities 59

Energy and Utilities IoT Customer Experience Manufacturing 59

Krebs on Security

SEPTEMBER 5, 2023

“The seed phrase is literally the money,” said Nick Bax , director of analytics at Unciphered , a cryptocurrency wallet recovery company. “If you have my seed phrase, you can copy and paste that into your wallet, and then you can see all my accounts. .”

Passwords 362

Passwords Encryption Blockchain Data breaches 362

AIIM

MAY 30, 2023

This article was written by AIIM Florida Chapter Board Member Alvaro Arias Cruz , District Director of Archives of Bogotá. It was originally published in the AIIM Florida Chapter Newsletter in April 2023. Learn more about the AIIM Florida Chapter at [link].

Archiving 145

Archiving Search queries Digital preservation Big data 145

Collibra

MARCH 12, 2024

What is advanced analytics? The term “advanced analytics” gained widespread recognition in the fields of data analysis and business intelligence (BI) during the early 2000s. Today, advanced analytics encompasses a broad array of techniques and methodologies used to extract deep insights from data.

Analytics 52

Analytics Mining Metadata Big data 52

Gimmal

NOVEMBER 7, 2024

Improve Decision-Making: AI-driven analytics provide deeper insights into data trends and patterns. Opportunities for Insights: Potential to extract valuable information using advanced analytics. Management Challenges Will Increase: Difficulty in organizing, storing, categorizing, and securing this data type.

Information governance 40

Information governance Government Unstructured data Analytics 40

OpenText Information Management

SEPTEMBER 16, 2024

1 The ratio between man and machine All industries use machines, yet the energy and resources sector including utilities , oil and gas , chemicals , and metals & mining industries is the most capital intensive. GenAI : Predictive machine analytics at scale. In this sector, the ratio of gross plant, property, and equipment (aka.

Energy and Utilities 111

Energy and Utilities e-Delivery Analytics Mining 111

Info Source

OCTOBER 6, 2020

NYSE: AYX), a leader in analytic process automation (APA ), to deliver process intelligence capabilities that complement the Alteryx Analytic Process Automation Platform. The Alteryx APA Platform unifies analytics, data science and data-centric process automation in one self-service platform. MILPITAS, Calif.,

Analytics 40

Analytics Digital transformation Mining Data science 40

Schneier on Security

NOVEMBER 9, 2018

Universities are exploiting these data for research, learning analytics, faculty evaluation, strategic decisions, and other sensitive matters. Universities are exploiting these data for research, learning analytics, faculty evaluation, strategic decisions, and other sensitive matters.

Privacy 95

Privacy Data collection Security Mining 95

The Last Watchdog

SEPTEMBER 11, 2019

Stuck in a rut Enter SOAR, which takes well-understood data mining and business intelligence analytics methodologies and applies them to cybersecurity. The quicker and deeper they can train Big Data analytics on detecting and cutting short leading-edge attacks, the better off we’ll all be. Talk more soon.

Security 159

Security Big data Cybersecurity Analytics 159

The Last Watchdog

SEPTEMBER 14, 2018

EventTracker has a bird’s eye view; its unified security information and event management (SIEM) platform includes – behavior analytics, threat detection and response, honeynet deception, intrusion detection and vulnerability assessment – all of which are coupled with their SOC for a co-managed solution. Years of data disappeared.

Government 147

Government Digital transformation Mining Insurance 147

erwin

AUGUST 6, 2020

Gartner defines data literacy as the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied — and the ability to describe the use case, application and resulting value. So, what is data literacy? Data Literacy Definition.

Government 135

Government Digital transformation Customer Experience Mining 135

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

Organizations use accounting, auditing, investigative, data and analytic skills to “follow the money” and determine their financial value. Figure 3: Customer Analytic Profile. See “ Analytic Profiles: Key to Data Monetization ” for more details on Analytic Profiles. Optimizing the Customer Experience.

Artificial Intelligence 102

Artificial Intelligence Analytics Customer Experience Big data 102

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data.

Analytics 77

Analytics Retail Cloud Insurance 77

erwin

JUNE 11, 2020

With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently. Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

Robert's Db2

JUNE 24, 2013

Thus the importance of business analytics, which can be thought of as the means whereby information is made to yield insight. The argument for performing business analytics in this fashion was largely cost-based. Floor space, electricity, and data center cooling costs mount as x86- and RISC-based analytics servers multiply.

Analytics 48

Analytics Access Mining Security 48

eSecurity Planet

SEPTEMBER 16, 2022

They’re also useful for background checks, data analytics, and data mining. Data analytics in particular is great with Fraud.net, offering users a live feed of data and analysis to better monitor and understand potential fraud risks. Why Use Fraud Management and Detection Tools? What Is Fraud Management and Detection?

Analytics 115

Analytics Risk Authentication Financial Services 115

Info Source

MAY 20, 2019

The global process analytics market size is expected to grow to USD 1,421.7 TimelinePI’s vision of combining the most versatile process mining and operational monitoring with cutting-edge, process-centric AI and machine learning will serve as a critical cornerstone to ABBYY’s Digital IQ strategy. MILPITAS, Calif.,

Mining 40

Mining Digital transformation Analytics IT 40